Title
Simultaneous motion correction and t-1 estimation in quantitative t-1 mapping: an ml restoration approach Simultaneous motion correction and t-1 estimation in quantitative t-1 mapping: an ml restoration approach
Author
Faculty/Department
Faculty of Sciences. Physics
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Publication type
conferenceObject
Publication
New york :Ieee ,
Subject
Physics
Engineering sciences. Technology
Source (journal)
2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Source (book)
IEEE International Conference on Image Processing (ICIP), SEP 27-30, 2015, Quebec City, CANADA
Volume/pages
(2015) , p. 3160-3164
ISSN
1522-4880
ISBN
978-1-4799-8339-1
ISI
000371977803058
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
In magnetic resonance imaging the spin-lattice relaxation time (T-1) of tissues is estimated from a set of T-1-weighted images. As the T-1 estimation is a voxel-wise estimation, correct alignment of the T-1-weighted images is crucial for T-1 mapping. Therefore, to correct for motion, the T-1-weighted images are often registered prior to the T-1 estimation. This two-step approach, however, does not provide an accurate motion detection due to the high dynamic contrast changes in the series of images. Moreover, interpolation effects during registration, propagate to the T-1 estimation. In this work, we propose a unified approach, where the motion estimation is integrated into the T-1 estimation procedure. The motion model parameters and T-1 parameters are jointly estimated using a Maximum Likelihood (ML) approach. Results on simulation and real data experiments show a substantial improvement in the precision and accuracy of the estimated T-1 map compared to the conventional two-step approach.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371977803058&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371977803058&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
https://repository.uantwerpen.be/docman/iruaauth/c8944b/133609.pdf
Handle